Könyv Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection Joseph M Shapiro

Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection

Szerző: Joseph M Shapiro
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Biblioscholar
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
20 775 Ft
Negative selection is a process from the biological immune system that can be applied to two-class (...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2012
oldal
162
EAN
9781288395880
ISBN
9781288395880
Enbook ID
08249273
Kiadó
Súly
299
Méretek
189 x 246 x 9

Teljes leírás

Negative selection is a process from the biological immune system that can be applied to two-class (self and nonself) classification problems. Negative selection uses only one class (self) for training, which results in detectors for the other class (nonself). This paradigm is especially useful for problems in which only one class is available for training, such as network intrusion detection. Previous work has investigated hyper-rectangles and hyper-spheres as geometric detectors. This work proposes ellipsoids as geometric detectors. First, we establish a mathematical model for ellipsoids. We develop an algorithm to generate ellipsoids by training on only one class of data. Ellipsoid mutation operators, an objective function, and a convergence technique are described for the evolutionary algorithm that generates ellipsoid detectors.

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